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The Use of Computational Approaches in the Discovery and Mechanism Study of Opioid Analgesics

Opioid receptors that belong to class A G protein-coupled receptors (GPCRs) are vital in pain control. In the past few years, published high-resolution crystal structures of opioid receptor laid a solid basis for both experimental and computational studies. Computer-aided drug design (CADD) has been...

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Detalles Bibliográficos
Autores principales: Zhao, Bangyi, Li, Wei, Sun, Lijie, Fu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7242749/
https://www.ncbi.nlm.nih.gov/pubmed/32500054
http://dx.doi.org/10.3389/fchem.2020.00335
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author Zhao, Bangyi
Li, Wei
Sun, Lijie
Fu, Wei
author_facet Zhao, Bangyi
Li, Wei
Sun, Lijie
Fu, Wei
author_sort Zhao, Bangyi
collection PubMed
description Opioid receptors that belong to class A G protein-coupled receptors (GPCRs) are vital in pain control. In the past few years, published high-resolution crystal structures of opioid receptor laid a solid basis for both experimental and computational studies. Computer-aided drug design (CADD) has been established as a powerful tool for discovering novel lead compounds and for understanding activation mechanism of target receptors. Herein, we reviewed the computational-guided studies on opioid receptors for the discovery of new analgesics, the structural basis of receptor subtype selectivity, agonist interaction mechanism, and biased signaling mechanism.
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spelling pubmed-72427492020-06-03 The Use of Computational Approaches in the Discovery and Mechanism Study of Opioid Analgesics Zhao, Bangyi Li, Wei Sun, Lijie Fu, Wei Front Chem Chemistry Opioid receptors that belong to class A G protein-coupled receptors (GPCRs) are vital in pain control. In the past few years, published high-resolution crystal structures of opioid receptor laid a solid basis for both experimental and computational studies. Computer-aided drug design (CADD) has been established as a powerful tool for discovering novel lead compounds and for understanding activation mechanism of target receptors. Herein, we reviewed the computational-guided studies on opioid receptors for the discovery of new analgesics, the structural basis of receptor subtype selectivity, agonist interaction mechanism, and biased signaling mechanism. Frontiers Media S.A. 2020-05-15 /pmc/articles/PMC7242749/ /pubmed/32500054 http://dx.doi.org/10.3389/fchem.2020.00335 Text en Copyright © 2020 Zhao, Li, Sun and Fu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Chemistry
Zhao, Bangyi
Li, Wei
Sun, Lijie
Fu, Wei
The Use of Computational Approaches in the Discovery and Mechanism Study of Opioid Analgesics
title The Use of Computational Approaches in the Discovery and Mechanism Study of Opioid Analgesics
title_full The Use of Computational Approaches in the Discovery and Mechanism Study of Opioid Analgesics
title_fullStr The Use of Computational Approaches in the Discovery and Mechanism Study of Opioid Analgesics
title_full_unstemmed The Use of Computational Approaches in the Discovery and Mechanism Study of Opioid Analgesics
title_short The Use of Computational Approaches in the Discovery and Mechanism Study of Opioid Analgesics
title_sort use of computational approaches in the discovery and mechanism study of opioid analgesics
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7242749/
https://www.ncbi.nlm.nih.gov/pubmed/32500054
http://dx.doi.org/10.3389/fchem.2020.00335
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